Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach

Authors

S. M. Muyeen (ORCID: https://orcid.org/0000-0003-4955-6889)
Mohamed Benbouzid (ORCID: https://orcid.org/0000-0002-4844-508X)
Nima Amjady (ORCID: https://orcid.org/0000-0003-1308-1738)
Syed Shuibul Qarnain (ORCID: https://orcid.org/0000-0002-3133-2134)
Sobhan Dorahaki (ORCID: https://orcid.org/0000-0003-1899-4210)

Publication Details

Journal: Sustainable Energy Grids and Networks
Published: 2025-03-14
DOI: https://doi.org/10.1016/j.segan.2025.101679
Citations: 3
Primary Topic: Smart Grid Energy Management
Type: article
Field-Weighted Citation Impact: 2.19

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article

Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach

S. M. Muyeen, Mohamed Benbouzid, Nima Amjady, Syed Shuibul Qarnain et al.

Mar 14, 2025

3 citations

Sustainable Energy Grids and Networks

Smart Grid Energy Management

2.19

article

Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach

S. M. Muyeen, Mohamed Benbouzid, Nima Amjady, Syed Shuibul Qarnain, Sobhan Dorahaki

March 14, 2025article en

3 citations

Abstract

No abstract available for this paper.

Sustainable Energy Grids and NetworksVol. 42

Responsible consumption and production

Openalex Percentile: Top 13%

Smart Grid Energy Management

2.19

DOI Open Access PDF OpenAlex

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Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach — S. M. Muyeen, Mohamed Benbouzid, et al. · Sustainable Energy Grids and Networks (2025) | TGRS Research Map | TGRS